What are R Data Structures?

What are R Data Structures?

a) Ways to organize and store data in R
b) Functions for performing mathematical operations
c) Loops that handle iterations automatically
d) Methods for importing data into R

Answer:

a) Ways to organize and store data in R

Explanation:

R data structures are different ways of organizing and storing data in R. They allow you to manage, manipulate, and analyze data efficiently. R provides several built-in data structures, each suited to different types of tasks and data.

The primary data structures in R include:

  • Vectors: A basic data structure that stores elements of the same type.
  • Lists: A versatile data structure that can store elements of different types.
  • Matrices: A two-dimensional data structure that stores elements of the same type.
  • Arrays: A multi-dimensional generalization of matrices.
  • Data Frames: A two-dimensional data structure that can store elements of different types, similar to a table in a database.
  • Factors: A data structure for handling categorical data.

Understanding and using these data structures effectively is key to performing data analysis and statistical computations in R.

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